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Recursive LLM prompts

81 点作者 vlan12127 天前

10 条评论

mertleee24 天前
&quot;Foundational AI companies love this one trick&quot;<p>It&#x27;s part of why they love agents and tools like cursor -&gt; turns a problem that could&#x27;ve been one prompt and a few hundred tokens into dozens of prompts and thousands of tokens ;)
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ivape24 天前
<i>The bigger picture goal here is to explore using prompts to generate new prompts</i><p>I see this as the same as a reasoning loop. This is the approach I use to quickly code up pseudo reasoning loops on local projects. Someone had asked in another thread &quot;how can I get the LLM to generate a whole book&quot;, well, just like this. If it can keep prompting itself to ask &quot;what would chapter N be?&quot; until &quot;THE END&quot;, then you get your book.
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danielbln24 天前
The last commit is from April 2023, should this post maybe have a (2023) tag? Two years is eons in this space.
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kordlessagain23 天前
I love this! My take on it for MCP: <a href="https:&#x2F;&#x2F;github.com&#x2F;kordless&#x2F;EvolveMCP">https:&#x2F;&#x2F;github.com&#x2F;kordless&#x2F;EvolveMCP</a>
K0balt23 天前
This is kind of like a self generating agentic context.. cool. I think regular agents, especially adversarial agents, are easier to get focused on most types of problems though.<p>Still clever.
James_K24 天前
I feel that often getting LLMs to do things like mathematical problems or citation is much harder than simply writing software to achieve that same task.
mentalgear22 天前
Trying to save state in a non-deterministic system, not the best idea. Those things need to be externalised.
seeknotfind24 天前
Excellent fun. Now just to create a prompt to show iterated LLMs are turing complete.
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NooneAtAll324 天前
LLM quine when?
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mentalgear22 天前
Should definitely get a date tag.
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